RADIO FREQUENCY BASED INPAINTING FOR INDOOR LOCALIZATION USING MEMORYLESS TECHNIQUES AND WIRELESS TECHNOLOGY
Tammineni Shanmukha Prasanthi
prashanthitammineni.rs@andhrauniversity.edu.inAndhra University (India)
https://orcid.org/0009-0000-5352-2265
Swarajya Madhuri Rayavarapu
Andhra University (India)
Gottapu Sasibhushana Rao
Andhra University (India)
Raj Kumar Goswami
Gayatri Vidya Parishad College of Engineering for Women (India)
https://orcid.org/0000-0002-0651-6783
Gottapu Santosh Kumar
Gayatri Vidya Parishad College of Engineering (India)
https://orcid.org/0000-0002-1452-9752
Abstract
Recently, the Internet of Things (IoT) has grown to encompass the surveillance of devices through the utilization of Indoor Positioning Systems (IPS) and Location Based Services (LBS). One commonly used method for developing an Intrusion Prevention System (IPS) is to utilize wireless networks to determine the location of the target. This is achieved by leveraging devices with known positions. Location-based services (LBS) play a vital role in many smart building applications, enabling the creation of efficient and effective work environments. This study examines four memoryless positioning algorithms, namely K-Nearest Neighbour (KNN), Decision tree, Naïve Bayes and Random Forest regressor. The algorithms are compared based on their performance in terms of Mean Square Error, Root Mean Square Error, Mean Absolute Error and R2. A comparative analysis has been conducted to verify the outcomes of different memoryless techniques in Wi-Fi technology. Based on empirical evidence, Naïve Bayes has been determined to be the localization strategy that exhibits the highest level of accuracy. The dataset containing the Received Signal Strength Indicator (RSSI) measurements from all the studies is accessed online.
Keywords:
RSSI, K-Nearest Neighbor, Indoor Localization, Random Forest RegressorReferences
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Authors
Tammineni Shanmukha Prasanthiprashanthitammineni.rs@andhrauniversity.edu.in
Andhra University India
https://orcid.org/0009-0000-5352-2265
Authors
Swarajya Madhuri RayavarapuAndhra University India
Authors
Gottapu Sasibhushana RaoAndhra University India
Authors
Raj Kumar GoswamiGayatri Vidya Parishad College of Engineering for Women India
https://orcid.org/0000-0002-0651-6783
Authors
Gottapu Santosh KumarGayatri Vidya Parishad College of Engineering India
https://orcid.org/0000-0002-1452-9752
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